| 2022 | IUI | Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models. | Geoff Holmes, Eibe Frank, Dale Fletcher, Corey Sterling |
| 2021 | IVCNZ | Perceptual improvements for Super-Resolution of Satellite Imagery. | Daniel Bull, Nick Jin Sean Lim, Eibe Frank |
| 2020 | IJCNN | Adaptive XGBoost for Evolving Data Streams. | Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet |
| 2020 | MSR | Embedding Java Classes with code2vec: Improvements from Variable Obfuscation. | Rhys Compton, Eibe Frank, Panos Patros, Abigail M. Y. Koay |
| 2019 | ACML | Stochastic Gradient Trees. | Henry Gouk, Bernhard Pfahringer, Eibe Frank |
| 2019 | PAKDD | On Calibration of Nested Dichotomies. | Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes |
| 2019 | PAKDD | Ensembles of Nested Dichotomies with Multiple Subset Evaluation. | Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes |
| 2018 | IVCNZ | Hidden Features: Experiments with Feature Transfer for Fine-Grained Multi-Class and One-Class Image Categorization. | Varvara Vetrova, Sheldon Coup, Eibe Frank, Michael J. Cree |
| 2018 | TrustCom | Good Vibrations: Artificial Ambience-Based Relay Attack Detection. | Iakovos Gurulian, Konstantinos Markantonakis, Eibe Frank, Raja Naeem Akram |
| 2017 | ACML | Probability Calibration Trees. | Tim Leathart, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer |
| 2017 | DSAA | Learning Through Utility Optimization in Regression Tasks. | Paula Branco, Lus Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau |
| 2017 | TrustCom | On the Effectiveness of Ambient Sensing for Detecting NFC Relay Attacks. | Iakovos Gurulian, Carlton Shepherd, Eibe Frank, Konstantinos Markantonakis, Raja Naeem Akram, Keith Mayes |
| 2017 | SP | The Applicability of Ambient Sensors as Proximity Evidence for NFC Transactions. | Carlton Shepherd, Iakovos Gurulian, Eibe Frank, Konstantinos Markantonakis, Raja Naeem Akram, Emmanouil Panaousis, Keith Mayes |
| 2016 | ECAI | Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis. | Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer |
| 2015 | IJCAI | Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets. | Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer |
| 2015 | SAC | Alternating model trees. | Eibe Frank, Michael Mayo, Stefan Kramer |
| 2015 | SIGIR | From Unlabelled Tweets to Twitter-specific Opinion Words. | Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer |
| 2013 | ICDM | Online Estimation of Discrete Densities. | Michael Geilke, Eibe Frank, Andreas Karwath, Stefan Kramer |
| 2010 | AAAI | Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. | Fabian Buchwald, Tobias Girschick, Eibe Frank, Stefan Kramer |
| 2010 | DIS | Sentiment Knowledge Discovery in Twitter Streaming Data. | Albert Bifet, Eibe Frank |
| 2010 | DIS | Speeding Up and Boosting Diverse Density Learning. | James R. Foulds, Eibe Frank |
| 2010 | PAKDD | Fast Perceptron Decision Tree Learning from Evolving Data Streams. | Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank |
| 2009 | ACML | Conditional Density Estimation with Class Probability Estimators. | Eibe Frank, Remco R. Bouckaert |
| 2009 | CIDM | Large-scale attribute selection using wrappers. | Martin Gtlein, Eibe Frank, Mark Hall, Andreas Karwath |
| 2009 | EMNLP | Human-competitive tagging using automatic keyphrase extraction. | Olena Medelyan, Eibe Frank, Ian H. Witten |
| 2009 | PAKDD | Clustering Documents Using a Wikipedia-Based Concept Representation. | Anna-Lan Huang, David N. Milne, Eibe Frank, Ian H. Witten |
| 2008 | FlAIRS | Combining Naive Bayes and Decision Tables. | Mark Hall, Eibe Frank |
| 2008 | ICDM | Clustering Documents with Active Learning Using Wikipedia. | Anna-Lan Huang, David N. Milne, Eibe Frank, Ian H. Witten |
| 2006 | PAKDD | Improving on Bagging with Input Smearing. | Eibe Frank, Bernhard Pfahringer |
| 2004 | ICML | Ensembles of nested dichotomies for multi-class problems. | Eibe Frank, Stefan Kramer |
| 2004 | PAKDD | Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms. | Remco R. Bouckaert, Eibe Frank |
| 2004 | PAKDD | Logistic Regression and Boosting for Labeled Bags of Instances. | Xin Xu, Eibe Frank |
| 2003 | UAI | Locally Weighted Naive Bayes. | Eibe Frank, Mark A. Hall, Bernhard Pfahringer |
| 2002 | DIS | Racing Committees for Large Datasets. | Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall |
| 2001 | PAKDD | Determining Progression in Glaucoma Using Visual Fields. | Andrew Turpin, Eibe Frank, Mark Hall, Ian H. Witten, Chris A. Johnson |
| 2000 | DCC | Text Categorization Using Compression Models. | Eibe Frank, Chang Chui, Ian H. Witten |
| 2000 | ILP | Bottom-Up Propositionalization. | Stefan Kramer, Eibe Frank |
| 1999 | ICML | Making Better Use of Global Discretization. | Eibe Frank, Ian H. Witten |
| 1999 | IJCAI | Domain-Specific Keyphrase Extraction. | Eibe Frank, Gordon W. Paynter, Ian H. Witten, Carl Gutwin, Craig G. Nevill-Manning |
| 1998 | ICML | Generating Accurate Rule Sets Without Global Optimization. | Eibe Frank, Ian H. Witten |
| 1998 | ICML | Using a Permutation Test for Attribute Selection in Decision Trees. | Eibe Frank, Ian H. Witten |